bio3d (version 2.1-2)

pca.array: Principal Component Analysis of an arrary of matrices

Description

Calculate the principal components of an array of correlation or covariance matrices.

Usage

## S3 method for class 'array':
pca(x, use.svd = TRUE, ...)

Arguments

x

an array of matrices, e.g. correlation or covariance matrices as obtained from functions dccm or enma2covs.

use.svd

logical, if TRUE singular value decomposition (SVD) is called instead of eigenvalue decomposition.

...

.

Value

• Returns a list with components equivalent to the output from pca.xyz.

Details

This function performs an PCA of residue-residue cross-correlations or covariance matrices derived from ensemble NMA of M structures.

References

Grant, B.J. et al. (2006) Bioinformatics 22, 2695--2696.

See Also

pca.xyz